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dc.contributor.authorKalathur, RKR
dc.contributor.authorPedro Pinto, J
dc.contributor.authorSahoo, B
dc.contributor.authorChaurasia, G
dc.contributor.authorFutschik, Matthias
dc.date.accessioned2017-08-01T10:52:34Z
dc.date.available2017-08-01T10:52:34Z
dc.date.issued2017-12
dc.identifier.issn2045-2322
dc.identifier.issn2045-2322
dc.identifier.other5216
dc.identifier.urihttp://hdl.handle.net/10026.1/9658
dc.description.abstract

<jats:title>Abstract</jats:title><jats:p>Huntington’s disease (HD) is a progressive and fatal neurodegenerative disorder caused by an expanded CAG repeat in the huntingtin gene. Although HD is monogenic, its molecular manifestation appears highly complex and involves multiple cellular processes. The recent application of high throughput platforms such as microarrays and mass-spectrometry has indicated multiple pathogenic routes. The massive data generated by these techniques together with the complexity of the pathogenesis, however, pose considerable challenges to researchers. Network-based methods can provide valuable tools to consolidate newly generated data with existing knowledge, and to decipher the interwoven molecular mechanisms underlying HD. To facilitate research on HD in a network-oriented manner, we have developed HDNetDB, a database that integrates molecular interactions with many HD-relevant datasets. It allows users to obtain, visualize and prioritize molecular interaction networks using HD-relevant gene expression, phenotypic and other types of data obtained from human samples or model organisms. We illustrated several HDNetDB functionalities through a case study and identified proteins that constitute potential cross-talk between HD and the unfolded protein response (UPR). HDNetDB is publicly accessible at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://hdnetdb.sysbiolab.eu">http://hdnetdb.sysbiolab.eu</jats:ext-link>.</jats:p>

dc.format.extent5216-
dc.format.mediumElectronic
dc.languageen
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.subjectComputational Biology
dc.subjectDatabases, Genetic
dc.subjectGene Regulatory Networks
dc.subjectGenetic Markers
dc.subjectHumans
dc.subjectHuntingtin Protein
dc.subjectHuntington Disease
dc.subjectTranscriptome
dc.subjectUnfolded Protein Response
dc.titleHDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000405425000020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1
plymouth.volume7
plymouth.publication-statusPublished online
plymouth.journalScientific Reports
dc.identifier.doi10.1038/s41598-017-05224-0
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Users by role
dc.publisher.placeEngland
dcterms.dateAccepted2017-05-25
dc.identifier.eissn2045-2322
dc.rights.embargoperiodNo embargo
rioxxterms.versionofrecord10.1038/s41598-017-05224-0
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-12
rioxxterms.typeJournal Article/Review


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